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Modeling and solving a sugarcane harvest front scheduling problem

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  • Junqueira, Rogerio de Ávila Ribeiro
  • Morabito, Reinaldo

Abstract

Sugarcane harvest front scheduling is a complex process that affects the main activities of sugarmill supply logistics and it should simultaneously consider the available harvest and transport capacities, which are sometimes neglected. This paper models this scheduling problem, exploring an analogy to the well-known general lotsizing and scheduling problem with parallel production lines, and presents a heuristic method to solve it, involving an aggregation process, a constructive MIP heuristic based on relax-and-fix and an improving MIP heuristic based on fix-and-optimize. This optimization approach is applied to solve a large-sized real problem instance of a Brazilian mill whole season. To validate the approach, a validation process of the literature is applied by consulting a selected group of Brazilian harvest planning specialists. The results highlight the potential of the approach and how it can change the current harvest planning practices, enabling plans that consider the balance of harvest and transport capacities without using sectorization.

Suggested Citation

  • Junqueira, Rogerio de Ávila Ribeiro & Morabito, Reinaldo, 2019. "Modeling and solving a sugarcane harvest front scheduling problem," International Journal of Production Economics, Elsevier, vol. 213(C), pages 150-160.
    • Handle: RePEc:eee:proeco:v:213:y:2019:i:c:p:150-160
    DOI: 10.1016/j.ijpe.2019.03.009
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    Cited by:

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    2. Onal, Sevilay & Akhundov, Najmaddin & Büyüktahtakın, İ. Esra & Smith, Jennifer & Houseman, Gregory R., 2020. "An integrated simulation-optimization framework to optimize search and treatment path for controlling a biological invader," International Journal of Production Economics, Elsevier, vol. 222(C).
    3. Víctor M. Albornoz & Lia C. Araneda & Rodrigo Ortega, 2022. "Planning and scheduling of selective harvest with management zones delineation," Annals of Operations Research, Springer, vol. 316(2), pages 873-890, September.
    4. Absi, Nabil & van den Heuvel, Wilco, 2019. "Worst case analysis of Relax and Fix heuristics for lot-sizing problems," European Journal of Operational Research, Elsevier, vol. 279(2), pages 449-458.
    5. Aliano Filho, Angelo & A． Oliveira, Washington & Melo, Teresa, 2023. "Multi-objective optimization for integrated sugarcane cultivation and harvesting planning," European Journal of Operational Research, Elsevier, vol. 309(1), pages 330-344.

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